My Pine Is Under Attack—What Should I Do? by Jiri Hulcr

“… This guide is intended to help tree owners and Extension personnel in Florida and the adjacent southeastern region make decisions about backyard pine trees that display signs of attack by wood borers. …”
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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

“…A stacking ensemble learning technique uses multiple models combining lightweight Decision Tree (DT) and small Neural Network (NN) to aggregate power of the system and generalize. …”
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2018–2019 Florida Citrus Production Guide: Soft-Bodied Insects Attacking Foliage and Fruit by Philip A. Stansly, Jawwad A. Qureshi, Lukasz L. Stelinski, Lauren M. Diepenbrock, Michael E. Rogers

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2019–2020 Florida Citrus Production Guide: Soft-Bodied Insects Attacking Foliage and Fruit by Lauren Marie Diepenbrock, Lukasz Stelinski, Jawwad Qureshi, Phil Stansly

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Intelligent intrusion detection system based on crowd search optimization for attack classification in network security by Chetan Gupta, Amit Kumar, Neelesh Kumar Jain

“…As compared to the previous models like NB Tree, Naïve Bayes, SVM, and other previous models, the implemented RF-CSO offers better detection accuracy and a low false alarm rate compared in the result section.…”
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Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

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Integrated intrusion detection design with discretion of leading agent using machine learning for efficient MANET system by K. S. Nirmala Bai, Dr M.V. Subramanyam

“…At first, the IDS is performed in the network using Adaptive Ensemble Tree Learning (AETL) based classification of typical nodes and malicious intrusions. …”
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Evaluation of Farmers Management Practices of Arabica Coffee Plantation Across Altitude for Climate Change Adaptation Strategies in Aceh, Indonesia by Ashabul Anhar, Heru P. Widayat, Ali Muhammad Muslih, Subhan Subhan, Romano Romano, Akhmad Baihaqi, Teuku Saiful Bahri, Zulkarnain Zulkarnain, Bagio Bagio, Yusmaizal Yusmaizal, Yusya Abubakar

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Early Prediction of Stroke Risk Using Machine Learning Approaches and Imbalanced Data by Hassan Qassim

“…Specifically, Decision Tree, Naïve Bayes, K- Nearest Neighbor (KNN) and Linear discriminant Analyses (LDA) models were trained on 11 attributes collected from 5110 patients to predict stroke risk. …”
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A Lightweight Intrusion Detection System for IoT and UAV Using Deep Neural Networks with Knowledge Distillation by Treepop Wisanwanichthan, Mason Thammawichai

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Annosum Root Rot of Southern Pines by Tyler Dreaden, Jason Smith

“…FOR269, a 3-page illustrated fact sheet by Tyler Dreaden and Jason Smith, describes this damaging forest pathogen that infects a wide range of species, including southern pine, and can cause tree mortality, reduced growth rates, susceptibility to attack by bark beetles, and regeneration failure. …”
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Annosum Root Rot of Southern Pines by Tyler Dreaden, Jason Smith

“…FOR269, a 3-page illustrated fact sheet by Tyler Dreaden and Jason Smith, describes this damaging forest pathogen that infects a wide range of species, including southern pine, and can cause tree mortality, reduced growth rates, susceptibility to attack by bark beetles, and regeneration failure. …”
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Phytophthora Identification and Sampling in Citrus Nurseries by Jamie D. Burrow, Diane B. Bright, Tim D. Riley, James H. Graham

“… Phytophthora species are important soil-borne, fungus-like pathogens that attack the root systems, trunk, and fruit of citrus trees at any age. …”
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Pine Sawflies, Neodiprion spp. (Insecta: Hymenoptera: Diprionidae) by Wayne N. Dixon

“…Trees of all ages are susceptible to sawfly defoliation (Barnard and Dixon 1983, Coppel and Benjamin 1965). …”
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Phytophthora Identification and Sampling in Citrus Nurseries by Jamie D. Burrow, Diane B. Bright, Tim D. Riley, Evan G. Johnson, James H. Graham

“… Phytophthora species are important soilborne, fungus-like pathogens that attack the root systems, trunk, and fruit of citrus trees at any age. …”
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Field Diagnosis and Management of Phytophthora Diseases by Stephen H. Futch, James H. Graham

“…As fungal infection of roots and bark progress, the above-ground symptoms increase in severity. Ultimately, trees may decline and die. These symptoms result from the inability of the tree's fibrous roots to take up nutrients and water from the soil, as well as blockage of movement to the tree's canopy via lateral roots and the trunk. …”
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Cryptographic hardness assumptions identification based on discrete wavelet transform by Ke Yuan, Yu Du, Yizheng Liu, Rongjin Feng, Bowen Xu, Gaojuan Fan, Chunfu Jia

“…To address the challenges posed by high-dimensionality, complex data distributions, and difficulty fitting ciphertext features, an ensemble learning model called MHERF is constructed, which combines four classifiers: Decision Tree, Adaptive Boosting, Support Vector Machines, and Gradient Boosting. …”
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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…The purpose of tree detection is to carry out further analysis related to the condition of oil palm trees such as nutritional status, harvest readiness and indications of disease attacks.. …”
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Black Turpentine Beetle, Dendroctonus terebrans (Olivier) (Insecta: Coleoptera: Curculionidae: Scolytinae) by Albert E. Mayfield, John L. Foltz

“…Light attacks may kill only localized sections of phloem tissue, but numerous attacks per stem result in tree mortality. …”
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A reliable score-based routing protocol using a fog-assisted intrusion detection system in vehicular ad-hoc networks by Samira Tahajomi Banafshehvaragh, Mani Zarei, Amir Masoud Rahmani

“…These algorithms include the decision tree, random forest, and extra trees. Deploying the IDS in the fog server solves the data diversity problem in the classifier training. …”
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